The startup develops psychometric marketing software that utilizes word embedding models and machine learning to identify implicit customer interests. This technology enhances advertising campaign efficiency by accurately defining target customer personality traits and aligning them with explicit campaign interests.
Funding
$360K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional advertising campaigns often struggle to efficiently target customers due to a reliance on explicit interests, overlooking the influence of underlying personality traits on consumer behavior. This can lead to wasted ad spend and lower conversion rates as campaigns fail to resonate with the target audience's implicit preferences.
Solution
Trantor offers psychometric marketing software that leverages word embedding models and machine learning to identify implicit customer interests based on personality traits. By analyzing the relationship between personality traits and interests, the software helps advertisers more accurately define their target audience and align campaigns with their implicit preferences. This approach enables more effective ad targeting, leading to increased traffic, higher engagement, and improved return on investment. The platform uses deep learning models and the OCEAN personality model to go beyond traditional stereotypes and capture nuanced connections between personality and interests.
Target Audience
The primary users are marketing professionals and advertising agencies seeking to improve the efficiency and effectiveness of their online advertising campaigns by leveraging psychometric insights.
Features
- Utilizes word embedding models to map interests and concepts in a vector space, measuring the proximity between topics.
- Employs deep learning models to associate interests with personality traits based on the OCEAN model.
- Identifies implicit interests based on the personality traits of the target audience and the type of product or service being marketed.
- Allows users to define campaign parameters such as objectives, budget, explicit interests, location, age, and gender.
- Provides recommendations for implicit interests, taking into account audience volume and campaign goals.
- Enables the creation of targeted Facebook campaigns based on the software's recommendations.